This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
Introduction to Business Analytics: Communicating with Data
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Introduction to Business Analytics: Communicating with Data
University of Illinois at Urbana-Champaign
Programa - O que você aprenderá com este curso
Semana
1Module 1
This module, will help you earn the foundation needed to become a good data communicator. After completion of this module, you will know the history of data visualizaiton, understand today’s dataviz tools, make connections with visuals, and evaluate the effectiveness of data visualizations.
7 vídeos (Total de 47 min), 7 leituras, 3 testes
7 videos
Welcome to Introduction to Business Analytics: Communicating with Data9min
Module 1 Overview1min
Lecture 1-1: Studying The History of Dataviz9min
Lecture 1-2: Understanding Today's Dataviz Tools6min
Lecture 1-3: Making Connections With Visuals8min
Lecture 1-4: Evaluating The Effectiveness Of Dataviz8min
7 leituras
Syllabus30min
About the Discussion Forums10min
Glossary10min
Brand Descriptions10min
Update Your Profile10min
Module 1 Overview20min
Module 1 Readings30min
2 exercícios práticos
Orientation Quiz10min
Module 1 Graded Quiz30min
Semana
2Module 2
This module will walk you through various methods to access data. The data could be either publicly available or company internal. The module also reviews why it is important for analysts to define clear objectives for their analysis. You will also be introduced to frameworks that help guide digital marketing analysis and their importance to data visualization.
5 vídeos (Total de 35 min), 2 leituras, 2 testes
5 videos
Lecture 2-1: Understanding The Growth Of Data6min
Lecture 2-2: Evaluating Methods Of Data Access8min
Lecture 2-3: Focusing Your Communication Journey8min
Lecture 2-4: Planning Your Data Story9min
2 leituras
Module 2 Overview20min
Module 2 Readings7min
1 exercício prático
Module 2 Graded Quiz30min
Semana
3Module 3
In this module, you will learn an approach to finding patterns in data through visualization. You will see how charts can be used to communicate messages that can be conceptual or data driven and declarative or exploratory. Next, we will learn how to use different charting techniques to reveal data patterns. Visual aids play a major role in identifying ideas and, as a result, we will learn how to match the appropriate visual technique to the ideas we hope to expose. Next, we will explore analysis tools. RStudio is one of the most commonly used tools, and we will explore its visual capabilities. Finally, we will discuss a framework that will help analysts effectively plan for data collection, analysis, and, ultimately, visualization.
5 vídeos (Total de 29 min), 2 leituras, 2 testes
5 videos
Lecture 3-1: Finding Patterns In Data9min
Lecture 3-2: Being Planful When Creating Dataviz5min
Lecture 3-3: Understanding The Components of Visual Form3min
Lecture 3-4: Creating Inviting Dataviz8min
2 leituras
Module 3 Overview20min
Module 3 Readings30min
1 exercício prático
Module 3 Graded Quiz30min
Semana
4Module 4
This module explores telling stories, through data, that connect emotionally with your audience. It will also review examples and figures that make the concept easy to understand. You will learn the major do’s and don’ts of creating dataviz and rules that lead to the clear depiction of your findings. This unit specifically focuses on Dona Wong’s guidelines for good data visualization and charts. The last leg of Module 4 teaches the three tests that help you improve your visualization. In the final step of dataviz execution, you will learn the McCandless Method for presenting visualizations. This five-step process produces the most effective communication of the graphics to your audience.
5 vídeos (Total de 35 min), 2 leituras, 2 testes
5 videos
Lecture 4-1: Enriching Content Through Connection8min
Lecture 4-2: Bringing Sophistication To Charts8min
Lecture 4-3: Improving Chart Legibility8min
Lecture 4-4: Presenting Dataviz With Impact8min
2 leituras
Module 4 Overview20min
Module 4 Readingsmin
1 exercício prático
Module 4 Graded Quiz30min
Instrutores
Kevin Hartman
Visiting Professor & Head of Analytics at GoogleCollege of Business
Start working towards your Master's degree
This course is part of the 100% online Master of Business Administration (iMBA) from University of Illinois at Urbana-Champaign.
If you are admitted to the full program, your courses count towards your degree learning.
Sobre University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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